Hey everyone,
I have a RNASeq dataset, with three variables - Time Point (1,10,100), Drug Concentration (0,0.001,0.1) and Cell Line (LineA, LineB, LineC). Therefore, I have been working with the design: ~Time.Point*Cell.line*Drug.
My question is, according with the interactions section of DESeq2 vignette & example 3 from results function, to get the comparison between 1 and 10 days in Time Point, at the baseline drug concentration (0), for Cell.Line B, I should do:
results(dds, contrast=list( c("Time.Point_10_vs_1","Cell.LineBTime.Point10") ))
However, if i want to get the log2FC after shrinkage, do I need to reorganize the levels (put Cell.LineB as reference level) and then run nbinomWaldTest? Or is there another way to do this?
Thanks in advance

Thanks for your suggestion!
For
apeglmshrinkage, on that scenario, I would have to relevel the variable and then re-run withnbinomWaldTest, correct? That would require similar iterations of relevel and rerun the model as the interaction model, I think.Yes, apeglm requires relevel and nbinomWaldTest to generate the coefficient estimate and its SE.
Alternatively you can use ashr with a contrast.